Showing 7 open source projects for "multicore"

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  • 1
    CRUSH

    CRUSH

    Data reduction and imaging for select astronomical cameras

    CRUSH is a pioneering reduction and imaging suite for many astronomical cameras operating at far-infrared, submillimeter and millimeter wavelengths, such as SHARC-2, SCUBA-2, LABOCA, GISMO, or SOFIA/HAWC+ (to name a few).
    Downloads: 3 This Week
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  • 2
    Chapel

    Chapel

    a Productive Parallel Programming Language

    Chapel is an emerging parallel programming language whose design and development are being led by HPE in collaboration with academia, computing labs, and industry. Chapel's goal is to improve the productivity of parallel programmers, from laptops to supercomputers. **Please note that Chapel development has moved to GitHub**
    Downloads: 3 This Week
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  • 3

    MuffinEC

    Multi-technology, INDEL aware error correction for NGS data

    ...It officially supports four technologies (Illumina, 454, ion Torrent and PacBio - experimental) and it also has a generic setup for others (old and/or new). It is released under LGPL version 3.0. MuffinEC can use multicore systems, thanks to its OpenMP implementation. We are developing the 2nd version of MuffinEC. The beta version is already available online. The changes are listed in the VERSION_HISTORY file. Please report any problem you may encounter at the email address specified in the README file. We really appreciate your help.
    Downloads: 0 This Week
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  • 4
    codonPhyML
    codonPhyML uses Markovian codon models of evolution in phylogeny reconstruction. Given a set of species characterized by their DNA sequences as input, codonPhyML will return the phylogenetic tree that best describes their evolutionary relationship. Our paper describing codonPhyML has been published in the journal "Molecular Biology and Evolution" (MBE). For more details, follow the link: http://mbe.oxfordjournals.org/content/30/6/1270. codonPhyML is on the cover of MBE! Check this out...
    Downloads: 2 This Week
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  • 5
    Intel(R) CnC

    Intel(R) CnC

    Parallelism without the Pain

    CnC makes it easy to write C++ programs which take full advantage of the available parallelism. Whether run on multicore systems, Xeon Phi™ or clusters CnC will seamlessly exploit the performance potential of your hardware. Through its portabilty and composability (with itself and other tools) it provides future-proof scalability. Intel© Concurrent Collections for C++ is a C++ template library for letting C++ programmers implement CnC applications which run in parallel on shared and distributed memory.
    Downloads: 1 This Week
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  • 6
    GTfold
    A Scalable Multicore Code for RNA Secondary Structure Prediction
    Downloads: 2 This Week
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  • 7
    GridABM is an easy-to-use toolkit to develop high-performance agent-based models (ABMs) in Repast. GridABM facilitates large-scale simulation of ABM on multicore computers, local computing clusters, or computational grids.
    Downloads: 12 This Week
    Last Update:
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